Many AI problems, when formulated, reduce to evaluat ing the probabi l i ty that a preposit ional expression is t rue. In this paper we show tha t this problem is computat ional ly int ractable even in surpr is ingly restricted cases and even if we settle for an approx imat ion to this probabi l i ty . We consider various methods used in approximate reasoning such as comput ing degree of belief...

since the rate of return on different opportunities for investment is random, the optimal distribution of ones capital is put foreward as a stochastic control problem. in this paper, using modem techniques in the theory of random functions and the stochsatic calculus, the problem is discussed for the case when the information possessed by the different investors, as well as their probability be...

Over the past few decades, economists and psychologists have accumulated a large body of experimental evidence on attitudes to risk. This evidence reveals that, when people make decisions under risk, they often depart from the predictions of expected utility. In an effort to capture the experimental data more accurately, researchers have developed a number of so-called nonexpected utility model...

In this paper, the formal structure of Penrose’s gravitationally induced reduction wave function mechanism is analyzed. It shown that pushing argument forward leads to interpretation quantum coherence in microscopic systems as an observable signature violation general covariance. We discuss potential avenues avoid conclusion, among them emergent mechanics and super-determinism.

In recent studies on evolutionary multiobjective optimization, MOEA/D has been frequently used due to its simplicity, high computational efficiency, and high search ability. A multiobjective problem in MOEA/D is decomposed into a number of single-objective problems, which are defined by a single scalarizing function with evenly specified weight vectors. The number of the single-objective proble...

wastewater planning management is a complex problem involving agricultural, rural and industrial interests. in countries facing rapid population growth, identifying methods that can allow them to take good decisions among several competitive alternatives is of utmost importance. the purpose of this paper is to present a methodology for a wastewater planning management system using a multi-c...

UK military commanders have a degree of devolved decision authority delegated from command and control (C2) regulators, and they are trained and expected to act rationally and accountably. Therefore from a Bayesian perspective they should be subjective expected utility maximizers. In fact they largely appear to be so. However when current tactical objectives con‡ict with broader campaign object...

Consider a decision maker who faces a number of possible models of the world. Every model generates objective probabilities, but no probabilities of models are given. This is the classic setting of statistical decision theory; recent and less standard applications include decision making with model uncertainty, e.g. due to concerns for misspecification, treatment choice with partial identificat...

The paper outlines an exchangeable non-Bayesian model of preference generalizing the Savage/de Finetti classic model of subjective expected utility preference with an exchangeable prior. The treatment is informal, and the emphasis is on motivation and potential applications rather than on axiomatic foundations and technical details. The objective is to provide a widely accessible introduction t...